Jobs → Data & Analytics → Knowledge Graph & Semantic Data Engineer

About the Role We are looking for an experienced Knowledge Graph & Semantic Data Engineer to join our team and build enterprise-scale knowledge graph and semantic data solutions in an AWS environment. Key Responsibilities • Design and develop enterprise ontologies, taxonomies, semantic models, and knowledge graphs • Build and optimize graph solutions using Neo4j and Amazon Neptune • Develop graph queries using Cypher/openCypher, SPARQL, and Gremlin • Build scalable ETL/ELT pipelines using Python, PySpark, SQL, and Apache Spark • Work with AWS services including S3, Glue, Lambda, Step Functions, EMR, Redshift, and Athena • Implement RDF, RDFS, OWL, SHACL, SKOS, and JSON-LD standards • Integrate enterprise data sources into knowledge graph solutions • Support GenAI, RAG, and GraphRAG-based solutions Requirements • 10+ years of overall experience in Data Engineering / Data Architecture • 3+ years of hands-on experience with Knowledge Graphs, Graph Databases, or Semantic Technologies • Strong experience with Neo4j and/or Amazon Neptune • Expertise in Python, PySpark, SQL, and Apache Spark • Hands-on experience with AWS data services • Strong understanding of RDF, OWL, SHACL, SPARQL, and Cypher • Experience with Snowflake, dbt Core, and Apache Iceberg